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Hello, thanks for the great paper.
With the ResNet version of SparK using sparse convolution and sparse batch normalization together, the flow and mixing of global semantic information is heavily …
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Hi, I'm very interested in your sparse autoencoder code. Can you show me the format of your test dataset mnist_all.pickle? Or where can I find it?
Great thanks!
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Suggested list of courses would be:
- An introduction to deep learning **
- How to train a neural network
- Regularisation in neural networks
- Deep Bayesian neural networks
- Conv…
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I meet OOM problem in refining, Here is my detailed error:
Refining...: 0%| | …
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I recently read your paper "EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing",It is very valuable and I want to try to reproduce it.But the effect I achieved is n…
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After some small experiments, the sensitivity against architectural variations have been revealed. I've constructed three new sets of networks: tinynets (MobileNet inspires), residuals and experimenta…
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Hello, Mr. Ranjan. Thanks for your great article [LSTM Autoencoder for Extreme Rare Event Classification in Keras](https://towardsdatascience.com/lstm-autoencoder-for-extreme-rare-event-classificatio…
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I'm trying to implement a [sparse autoencoder](http://ufldl.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder) with PyBrain. This is a simple neural network where the input and output are the sa…
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"Layers" : [
{ "Name" : "Input", "Kind" : "Input", "N" : "auto", "DataSet" : "gl_input", "Sparse" : true },
{ "Name" : "Hidden1", "Kind" : "Hidden", "Type" : "FullyConnected", "Source"…
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**Short Description**
> Transformer Debugger (TDB) is a tool developed by OpenAI's [Superalignment team](https://openai.com/blog/introducing-superalignment) with the goal of supporting investigatio…